Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Greenplum Database® stands out as a sophisticated, comprehensive, and open-source data warehouse solution. It excels in providing swift and robust analytics on data volumes that reach petabyte scales. Designed specifically for big data analytics, Greenplum Database is driven by a highly advanced cost-based query optimizer that ensures exceptional performance for analytical queries on extensive data sets. This project operates under the Apache 2 license, and we extend our gratitude to all current contributors while inviting new ones to join our efforts. In the Greenplum Database community, every contribution is valued, regardless of its size, and we actively encourage diverse forms of involvement. This platform serves as an open-source, massively parallel data environment tailored for analytics, machine learning, and artificial intelligence applications. Users can swiftly develop and implement models aimed at tackling complex challenges in fields such as cybersecurity, predictive maintenance, risk management, and fraud detection, among others. Dive into the experience of a fully integrated, feature-rich open-source analytics platform that empowers innovation.
Description
PolarDB-X has proven its reliability during the Tmall Double 11 shopping events and has assisted clients in various sectors, including finance, logistics, energy, e-commerce, and public services, in overcoming their business obstacles. It offers scalable storage solutions that can expand linearly to accommodate petabyte-scale demands, thereby eliminating the constraints associated with traditional standalone databases. Additionally, it features massively parallel processing (MPP) capabilities that greatly enhance the efficiency of performing complex analyses and executing queries on large datasets. Furthermore, it employs sophisticated algorithms to distribute data across multiple storage nodes, which effectively minimizes the amount of data held within individual tables. This advanced architecture not only optimizes performance but also ensures that businesses can handle their data needs flexibly and efficiently.
API Access
Has API
No
API Access
Has API
No
Integrations
Alibaba Cloud
No
Apache Superset
Yes
Data Sentinel
Yes
DbVisualizer
Yes
Docker
Yes
Emgage
Yes
Huawei Cloud Data Lake Governance Center
Yes
Hue
Yes
Immuta
Yes
Lyftrondata
Yes
Integrations
Alibaba Cloud
Yes
Apache Superset
No
Data Sentinel
No
DbVisualizer
No
Docker
No
Emgage
No
Huawei Cloud Data Lake Governance Center
No
Hue
No
Immuta
No
Lyftrondata
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$10,254.44 per year
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Greenplum Database
Founded
2003
Country
United States
Website
greenplum.org
Vendor Details
Company Name
Alibaba Cloud
Founded
2008
Country
China
Website
www.alibabacloud.com/es/product/polardb-x
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No